关于技术对澳大利亚邮政设施处理能力影响的实用定量研究

Yue Zhao
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摘要

澳大利亚邮政的服务需求与日俱增,为此,2019 年分别在图拉马林(Tullamarine)和马斯克特(Mascot)安装了自动分拣站和基于人工智能的优先排序系统。本文旨在回答以下问题:自动分拣站和基于人工智能的优先排序系统技术能否有效提高澳大利亚邮政的处理能力?本文将提出四个假设。首先将对每个假设的选定数据进行描述和可视化,然后对数据进行正态分布的 Shapiro-Wilk 检验。根据 Shapiro-Wilk 检验结果和假设,将选择不同的统计检验方法来分析数据,然后对结果进行解释。总之,自动分拣站技术和基于人工智能的优先排序系统能够有效提高澳大利亚邮政的处理能力,两种技术的效果没有显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Practical quantitative research on technological impact on Australia post facilities' processing capacity
Australia Post has seen increasing demands for its service and in response to this, an automated sorting station and an artificial intelligence-based prioritization system have been installed separately in Tullamarine and Mascot in 2019. This essay aims to answer the question: Can the technology the automated sorting station and the artificial intelligence-based prioritization system effectively improve the processing capability of Australia Post? Four hypotheses will be raised. Selected data for each hypothesis will firstly be described and visualized, then the data will be tested by the Shapiro-Wilk test for normal distribution. According to the Shapiro-Wilk test result and the hypothesis, different statistic tests will be selected to analyze the data followed by the interpretation of the result. In conclusion, the technology - the automated sorting station and the artificial intelligence-based prioritization system can effectively improve the processing capability of Australia Post, and there is no significant difference between the effectiveness of the two technologies.
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